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Enhancing Education with ADVICE: Database Course Implementation and Assessment

Explore the structure, implementation details, and assessment methods of the ADVICE educational system for teaching database courses. Learn about mandatory course content, laboratory exercises, and model verification algorithms. Discover how ADVICE modules support interactive tutoring and practical skills development in databases. The workshop highlights the benefits of using ADVICE for laboratory exercises, including query visualization and model verification. Join us to enhance your teaching practices in database education.

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Enhancing Education with ADVICE: Database Course Implementation and Assessment

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  1. Teaching Database Courses Using Educational System ADVICE Miloš Cvetanović , Zaharije Radivojević School of Electrical Engineering, Belgrade University 12th Workshop “Software Engineering Education and Reverse Engineering” Opatija, Croatia 03-08 September 2012

  2. Agenda • Course description • Structure of ADVICE • Implementation details • Laboratory exercises and usage of ADVICE • Assessment • Conclusions 12th Workshop SEE and RE

  3. Database course • Type: Mandatory course • Starts: 3 semester SE, 5 semester CE (of 8 semesters for bachelor studies) • Prerequisites: - • Class hours: 2+2+1 • Format: • Midterm 20 • Laboratory 20 • Final 60 • SE 60 students, CE 110 students 12th Workshop SEE and RE

  4. Course Syllabus • Database systems • Data modeling • Relational databases • Database query languages • Relational database design • Transaction processing 12th Workshop SEE and RE

  5. Creating a tool for laboratory exercises • Conceptual Design • SQL DDL • SQL DML • Formal Query Languages • Normalization 12th Workshop SEE and RE

  6. Creating a tool for laboratory exercises 12th Workshop SEE and RE

  7. ADVICE • ADVICE (Automated Database Verification with Interactive Counter Example) • Tool for laboratory exercises • Modular structure • Teaching support • Interactive tutoring 12th Workshop SEE and RE

  8. ADVICE modules • Core modules • login • users • defining problems • additional test • Additional modules • SQL DDL • SQL DML • relational algebra • relational calculus • conceptual modeling • normalization 12th Workshop SEE and RE

  9. Typical appearance of ADVICE 12th Workshop SEE and RE

  10. Model verification algorithm match(answer, solution){ schema1 = toSchema(answer); schema2 = toSchema(solution); reduce(schema1); reduce(schema2); for each (newSchema1, newSchema2) in eliminate(schema1, schema2){ for each renamedSchema1 in rename(newSchema1, newSchema2){ if(compare(renamedSchema1, newSchema2)){ return success; } } } return failure; } 12th Workshop SEE and RE

  11. Model verification example “An entity is missing: Journey” 12th Workshop SEE and RE

  12. Query verification algorithm 12th Workshop SEE and RE

  13. Query verification example SELECT J.Distance, T.Model FROM Journey J, Truck T WHERE T.IDTru=J.IDTru AND (SELECT COUNT(*) FROM Drives D WHERE D.IDJou=J.IDJou)>=2; SELECT J.Distance, T.Model FROM Journey J, Truck T WHERE T.IDTru=J.IDTru AND (SELECT COUNT(*) FROM Drives D WHERE D.IDJou=J.IDJou)=2; “You have 1 row(s) less. Missing row: (157,MAN)” 12th Workshop SEE and RE

  14. Query visualization 12th Workshop SEE and RE

  15. Assessment • main effect • year factor is significant (F(2, 721)=5.1286, p=0.00614) , difference between the years. • group factor is significant (F(1, 721)=90.489, p=0.0000), difference between groups. • Interaction is not significant (F(2, 721)=0.90318, p=0.40574), difference between groups is not dependent on the year. 12th Workshop SEE and RE

  16. Conclusion • Tool for support in laboratory exercises in databases related courses • Modular and extendable structure • Interactive iterative verification with query visualization • Possibility for vertical integration into database course 12th Workshop SEE and RE

  17. Thank you! Radivojevic Zaharije

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